We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What You’ll do:

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean:

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range: 

• $195,000 - $239,000

*This is a hybrid role

JR: 2026-7748

#LI-Hybrid

We are looking for a Staff Software Engineer to join our Engineering team.

What you’ll do:

• Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc). 
• Take full ownership for solving complex problems from inception to execution. 
• Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
• Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
• Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
• Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact. 
• Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
• Work with Python and C applications  to resolve wide-ranging issues, and drive feature implementation. 

What you’ll need:

• Bachelor's Degree in Computer Science or related field.
• 6+ years programming experience, ideally on a modern stack.
• Experience: 4+ years of experience writing high-quality, production-grade Python.
• Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
• Ability to lead and influence a team's technical direction.
• Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
• Demonstrated ability to design resilient software components within a distributed system.
  
  

Nice to have:

• Familiarity with Python Flask and/or FastAPI frameworks.
• Experience developing in C.
• Domain knowledge in Payment Systems or financial tech.
  
  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.   

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.  

Role Overview

As part of our Application Infrastructure org, this is a team building Coupang’s next-generation Real-Time Streaming & AI Platform that powers the end customer website and mobile apps. 

We are looking for a visionary Staff Software Engineer to lead the architectural design of a platform capable of processing over 100k+ events per second with sub-second, end-to-end latency. This system will serve as the central nervous system for Coupang, enabling real-time product and customer data and instant personalization. You will build a system that doesn't just meet industry standards but sets them, ensuring 5-6 nines availability while leveraging AI to optimize data flows and automate complex system behaviors.

What You Will Do

• Architect for Velocity: Lead the end-to-end design of a distributed streaming engine. You will Build the Best Team and Help Them Grow by setting the gold standard for high-throughput, low-latency architectural integrity.
• Define Extreme Performance: Design for "5-6 nines" (99.9999% availability) at a throughput of 100k+ events/sec. You will Dive Deep into JVM tuning, memory management, and network I/O to ensure sub-second latency across global clusters.
• AI-Driven Streaming: Integrate AI/ML models directly into the stream processing path. Implement predictive scaling and intelligent load balancing to ensure we Wow the Customer through seamless, real-time platform responsiveness.
• Solve Hard Problems: Address challenges related to distributed consistency, at times, exactly-once processing guarantees, and backpressure management. You must Be Data-Driven to validate architectural decisions against massive, bursty traffic patterns.

Basic Qualifications 

• Bachelor's degree in computer science, Electrical Engineering, Math, or a closely related field
• 4 years of experience in backend software development
• Proficiency in Java and the Spring Framework
• Experience working in cloud environments, particularly AWS
• Demonstrated experience in building and maintaining highly available, distributed systems

Preferred Qualifications

• Expert-level experience in Cassandra, TiDB, or DynamoDB
• Expert-level proficiency in Java and the Spring Framework.
• Demonstrated experience in building and maintaining highly available, distributed systems in cloud environments (AWS).
• Experience with high-volume messaging systems (e.g., Kafka, SQS)
• Extensive Experience: 10+ years of professional software development experience building backend infrastructure that supports global-scale, real-time traffic.
• Performance Expert: Proven track record of optimizing JVM applications for ultra-low latency (<100ms p99s) and high concurrency.
• AI Integration: Experience or a strong architectural vision for using AI/ML to automate system-level functionality, such as real-time anomaly detection in data streams.
• Distributed Systems Expert: Deep understanding of the CAP theorem, consensus algorithms, and building fault-tolerant systems from the ground up.

Pay & Benefits 

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. 

The base pay for this position ranges from $152,000/year to $282,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience. 

General Description of All Benefits 

• Annual bonus is 0-20% of the base salary
• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HAS)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of Paid Time Off (PTO) a year based on the tenure
• 12 Paid Holidays
• Paid Parental leave
• Pre-tax commuter benefits
• MTV- [Free] Electric Car Charging Station 

General Description of Other Compensation 

“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale. 

Recruitment Process and Others  

Recruitment Process   

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer 

• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. 

• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 

Details to Consider  

• This job posting may be closed prior to the stated end date for application if all openings are filled. 

• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. 

• Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. 

 Privacy Notice   

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/  

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.    

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft connects people to transportation to change the way we live and get around our communities. Lyft’s engineering team is growing rapidly, and we are looking for Software Engineers with a passion in Security to help us scale. Come be part of the Security team at Lyft focused on enabling and empowering engineering teams to deliver secure services at scale.

Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust.

Lyft Security builds systems to protect and defend infrastructure. We consult with teams as they build and launch new products and features, proactively plan for the unexpected, and respond to incidents that occur. Our work has company wide impact and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, bikes and scooters. We believe in scaling security through engineering fundamentals, automation, and tooling. Check out our blog posts at https://eng.lyft.com/tagged/security  to learn more about some of the things we’ve built.

Corporate Security serves as a trusted partner, advisor, and enabler for Enterprise Security at Lyft by meeting and anticipating needs as the company evolves.

Responsibilities:

• Partner cross functionally to design and enforce secure processes that empower Lyft employees
• Help establish roadmaps and prioritize projects based on stakeholders’ needs
• Write well-crafted, well-tested, readable, and maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices
• Supporting and improving our existing detection pipelines
• Lead large projects from idea to successful execution
• Unblock, support and communicate with internal partners to achieve results

Experience:

• 5+ years of software engineering or security engineering industry experience
• Solid experience with a high level programming language (bonus points for experience with Python, Go-lang and shell scripts)
• Exposure to Database technologies including NoSQL (e.g., DynamoDB, Redis, Elasticsearch, etc.)
• Experience (or deep interest in) working with security systems
• Understanding of computer network security or major computer networking protocols (e.g. TCP/IP, HTTP, TLS, DNS).
• Nice to haves: 
• Experience with Amazon Web Services (AWS) or any other major cloud service provider
• Kubernetes and container technology experience
• Experience with Okta, Google Workspace, and other identity and productivity platforms commonly found in enterprise SaaS environments
• Experience leveraging AI to automate security workflows

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Seattle area is $136,160 - $170,200, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer II to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a hybrid role

JR: 2026-7591

#LI-Hybrid

We are looking for a Senior Forward Deployed Engineer (FDE) who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What you’ll do

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, GPU optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) to reduce friction for the broader field organization.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range:

• $140,000 - $174,000 

*This is a hybrid role

JR: 2025-7267

#LI-Hybrid

The Role

This is a hands-on EM role for the Digital Identity — Access & Rights team. The team builds and operates the Entitlements and Authorization platforms, two Tier-0 services every SoFi product depends on. Combined these two platforms are the single sources of truth for what benefits does a member have and what are they allowed to do. The right candidate pairs deep operational rigor with a genuine investment in coaching engineers, ships with modern AI tooling as a default, and moves fast with a just-do-it attitude.

You will inherit a strong, senior team of engineers already delivering against a dense roadmap that directly enables SoFi’s top tech initiatives such as Big Business Banking, SoFi Plus, Small Medium Business as well as other offerings. 

The Team You Will Join

The Digital Identity group owns customer identity, relationships, access control, and benefits distribution across all of SoFi. The Access & Rights team specifically owns two platforms that sit on the critical path for every member interaction: Entitlements (the generic connection graph mapping each entity to its accounts, benefits, and other resources) and Authorization (evaluating fine-grained permissions for every authenticated request). Our consumers include all of SoFi and we are a direct enabler to increased product velocity. 

You will partner closely with a product manager, and stakeholders across Crypto, Money, Member, Benefits, and Galileo engineering.

What You'll Do

• Lead and Grow Your Team: Lead and grow the team while maintaining or improving the team’s velocity. Manage performance with care and high standards, including the hard conversations. 
• Drive Technical Strategy & Execution: Own the planning, technical output, and delivery for the Digital Identity - Access & Rights team. Own operational excellence for two Tier-0 platforms. Set and defend SLOs, while holding the on-call posture accountable, and treat production quality as a management responsibility, not an IC concern. Review design documents, push back on senior engineers when the architecture does not hold up, pair with your team in AI-augmented coding sessions, and ship production code when the situation demands it.
• Collaborate and Influence: Establish and leverage strong relationships across the department and cross-functional leadership teams, partnering closely with product and other engineering teams to integrate solutions and define product and technical strategy.. 
• Problem Solve and Innovate: Operate with a high degree of independence to solve ambiguous and complex technical problems. Drive initiatives from inception to completion, contributing to the long-term architectural vision and continuous improvement of the identity platform.
• Be a prolific writer: Write well, and use AI to write faster. You will personally own incident reviews, roadmap updates, as well as  promotion cases to shape the executive narrative for the platform. 

Requirements

• 8+ years of experience designing, building, and operating scalable, mission-critical backend systems, with 2+ years directly managing engineers.
• Proven track record running a high traffic Tier-0 or equivalent critical platform: defined SLOs, owned on-call, led major incident reviews, and drove measurable reliability improvements.
• Deep experience with platform-style engineering: API contracts, versioning, backward compatibility, consumer migration, and deprecation discipline. You have managed a platform team with many downstream consumers, not just a feature team.
• Active, daily user of modern AI coding tools (Claude Code, Cursor, Copilot, or equivalent). Concrete examples of how you have used AI to accelerate your own output or your team's throughput. 
• Demonstrated ability to drive outcomes across team boundaries without escalation authority. You have led multi-quarter initiatives that required alignment across three or more engineering orgs.
• Hands-on technical depth in Java or Kotlin, with practical knowledge of REST APIs, event-driven systems, and relational or key-value data stores. Comfortable in design reviews and code reviews. Willing to write production code when the team needs a tiebreaker.
• Excellent written communication. You have written TDDs, post-mortems, and roadmap updates that senior leaders trusted without needing translation.
• Bias for action: absorbs ambiguity and resolves it, escalates it upward when the situation warrants.

Nice to Haves

• Experience building agentic workflows, internal AI tooling, or LLM-powered developer productivity systems.
• Experience with OpenFGA, Zanzibar-style authorization, or graph platforms at scale.
• Experience in regulated environments, ideally fintech, with exposure to SOX, PCI, or similar controls.
• Familiarity with AWS, Kubernetes, Kafka, DynamoDB, and Temporal.
• Prior work on multi-person or delegated access patterns (consumer & business banking, family accounts, custodial, trust relationships).

What We Offer

• A platform charter that directly enables every SoFi product and every SoFi member.
• A senior, seasoned team that already ships and wants a manager who will help them go faster with the right guardrails.
• Room to focus on team, execution, and AI-powered throughput
• Strong institutional support for AI tooling: Claude Code, Cursor, Copilot, internal AI platforms, and a mandate to move beyond using AI for pure work augmentation.
• Competitive compensation, equity, and benefits.

If running high-stakes platform teams is the work you want, reach out.

The Role

Join us in revolutionizing the lending landscape. SoFi is seeking enthusiastic Staff Software Engineers who are ready to lead the design and implementation of key capabilities of the next generation of our financial services platform in support of our goals that put our members in control of their financial destiny.  Key qualifications of this role include:

• Leading design and implementation efforts across multiple system domains to affect cross-team outcomes.
• Resolving problems in the platform design and implementation where there are competing constraints and significant ambiguity.
• Recognition as a subject matter expert across platform systems with the ability to contribute to the resolution of systemic issues.
• Ability to define the architectural direction and evolutionary strategy for critical subsystems within the platform.
• Ability to drive alignment across teams resolving technical and organizational conflicts.
• Raises the engineering maturity of the organization by consistently upholding the org-wide quality, reliability, and security policies.
• Ability to align technology decisions with company strategy, accounting for risk and growth constraints.
• Maintains standards of excellence through code and design reviews, mentors more junior engineers, and contributes to team efficiency, beyond personal output.
• Is a key participant in recruiting processes.

What You’ll Do

As an established technical leader within our team, you will focus on designing and implementing the backend services for our next-generation Lending Platform. This role involves full product lifecycle engagement, from initial concept to production deployment. Your responsibilities include creating durable designs, strong individual contributions in implementing new capabilities, and leading by example to improve engineering excellence and efficiency across the team. Success in the role will require close technical collaboration with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be a key stakeholder in those partnerships, responsible for driving alignment and delivering technical solutions that provide outstanding value to our members.

What You’ll Need

• Bachelor's or Master's degree in Computer Science, or Software Engineering
• 5+ years as a professional, full-time Software Engineer, or similar relevant work experience.
• 2+ years in a technical leadership role.
• Proficient coding in Java, Kotlin, or other similar object-oriented programming language.
• Experience with public cloud compute, storage, and infrastructure.
• Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.
• Deep understanding of relational and document database fundamentals.
• Deep understanding of fundamental distributed systems concepts.
• Deep understanding of microservices design principles and architecture.
• Experience with performance tuning and optimizing data access patterns.
• Proficient working with GIT and related CI/CD systems.
• Familiarity with Agile methodologies.
• Ability to produce clear and meaningful design and operational documentation artifacts.

Nice To Have

• Experience scaling highly-available, mission-critical systems.
• Experience with AWS technologies – DynamoDB, RDS, Lambda, Kinesis, SQS, S3, and Athena.
• Full-stack engineering experience, or willingness to expand your influence across our entire platform.

We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.

ABOUT BEZOS ACADEMY

At Bezos Academy, we believe all children deserve the great start that excellent early education provides, including in under-resourced communities. Our mission is to nurture the potential in every child to become a creative leader, original thinker, and lifelong learner by inventing the solutions needed to scale early childhood education. We are a unique organization that realizes our mission in two ways. First, we operate a multi-state network of schools in under-resourced communities, offering quality Montessori-inspired preschool at no cost to families. Second, we create tools, products, technology, and other solutions designed to reach young children and their caregivers well beyond the walls of our schools. We aspire to have a profound, large-scale impact on children ages zero to five. At Bezos Academy, we are committed to expanding access to play-focused preschool education in underserved communities, aiming to improve long-term educational, social, and developmental outcomes in ways that create meaningful and lasting impact.

ABOUT THE ROLE

As a Senior AI Applications Engineer at Bezos Academy, you will help build AI-powered software applications that support teachers’ abilities to deliver measurable results in early childhood education. As a hands-on, results-driven software developer, you will play a pivotal role in developing intelligent systems for teachers, staff and families with a small product development team. Your products will both thrill and delight their users and enable our national school network to nurture young children’s originality, foster self-agency, cultivate a love for learning, and spark joy.

You have a proven track record of combining machine-learning models, high-quality data, and human-centered workflows into production-ready tools; you consistently deliver solutions that solve human problems. Resourceful throughout the software-development lifecycle—from research and prototyping to deployment, monitoring, and evaluation—you work effectively despite constraints on time and resources. In past roles, you have successfully launched AI-powered applications in collaboration with product-development teams. As a software engineer with a customer mindset, you take pride in applying practical AI workflows and sound software-engineering principles to build high-impact AI products. Adept at working from scratch, you navigate ambiguity, iterate quickly, and shape solutions that earn customer love. Hands-on experience with evaluations, inference validation, and AI guardrails has helped you strengthen the safety, performance, and ethics of AI features. You recognize exceptional work when you see it and instill that same passion in others.

In this role, you will focus on building, measuring, and iterating for children. Motivated equally by great products and great impact, you are deeply inspired by our mission to expand access to quality early childhood education and experiences.

LOCATION

• Washington, Arizona, Florida, Kentucky, or Texas, within two hours’ drive to multiple Bezos Academy preschools (please see our website for-school locations); Seattle, WA preferred.
• Relocation support is available for those willing to relocate to Seattle, WA

COMPENSATION AND BENEFITS

• This is a full-time, benefits-eligible, salaried position.
• The full salary range for this position, across applicable United States geographies, is $157,000 - $298,000 per year. The upper portion of the salary range is typically reserved for employees who have been in the role for multiple years and have demonstrated strong performance over time. Starting salary will vary by location, qualifications, and prior experience.
• This role includes 15 paid days of vacation, 4 days of paid personal time off, 9 paid days of sick (care) time, 9 paid holidays, 5 paid days off for an organization-wide winter break, and additional time off if required by applicable law. Benefits for this role include medical, dental, and vision insurance, life insurance, disability insurance, a 401(k) plan with a 4% employer contribution match, paid parental leave, an employer-matched flexible spending account for dependent care, and more. Please see here for details.

MINIMUM QUALIFICATIONS

• Bachelor’s degree or equivalent experience
• Eight or more years of experience developing and deploying full-stack applications, including two or more years working on AI-powered applications in production environments
• Proficiency in Python for backend development and integrating AI capabilities
• Working knowledge of TypeScript and SQL for full-stack development and data handling
• Experience integrating pre-trained foundation models, including large language models (LLMs) and multi-modal models, into production applications
• Familiarity with model evaluation techniques, such as prompt testing, output validation, and performance monitoring
• Experience with AWS services, especially those relevant to AI applications (e.g., Bedrock, Lambda, EC2, S3, RDS, DynamoDB)
• Understanding of AI safety practices, including inference validation, implementing guardrails, and handling personally identifiable information (PII) and sensitive data responsibly
• Ability to speak, read, and write English fluently
  

PREFERRED QUALIFICATIONS

• Experience with LangChain or similar frameworks for orchestrating LLM workflows and agentic behavior (e.g., tool use, planning, memory)
• Familiarity with AWS AgentCore
• Exposure to vector databases and embedding techniques, especially in retrieval-augmented generation (RAG) workflows
• Experience implementing AWS Bedrock Guardrails or similar safety mechanisms
• Understanding of LLM evaluation strategies, including prompt engineering and human feedback loops
• Experience with DevOps practices, including CI/CD pipelines, test automation, and infrastructure-as-code tools (e.g., AWS CDK)

Please click here for a full job description. 

Bezos Academy participates in E-Verify and will provide the federal government with employee Form I-9 Information to confirm authorization to work in the U.S. Bezos Academy only uses E-Verify once a candidate has accepted a job offer and completed the Form I-9. If E-Verify cannot confirm that an employee is authorized to work, Bezos Academy will give the employee written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so the employee can begin to resolve the issue before any adverse employment action is taken. For more information about your right to work, please see the Notice of Right to Work.

The Role

Join us in revolutionizing the lending landscape. SoFi is seeking enthusiastic Principal Software Engineers who are ready to lead the technical and strategic evolution of our financial services platform in support of our goals that put our members in control of their financial destiny. Key qualifications of this role include:

• Leading the development and execution of strategic org-wide or company-wide initiatives across multiple product or platform domains.

• Identifying and resolving systemic business, technical, or organizational problems that span multiple organizations across the company.

• Recognition as a subject matter across multiple product or platform domains with the ability to identify and lead the resolution of systemic issues.

• Ability to define the long-term architectural direction across all areas of the platform or across multiple products, aligning stakeholder teams around a shared vision and business goals.

• Ability to drive alignment across divisions to resolve technical and organizational conflicts in order to deliver on SoFi’s business and strategic goals.

• Raises the engineering maturity of the organization by identifying and leading key improvements in the organization's culture and processes that support engineering excellence

• Ability to identify and lead key improvements in systems supporting engineer productivity and velocity.

• Ability to collaborate with partners to create and align technology and company strategy, resulting in plans that address the short and long-term goals of the business.

• Mentors engineers across the organization, is a key contributor in recruiting processes, and helps shape hiring standards.

What You’ll Do

As a widely recognized technical leader across SoFi groups, you will partner across technology and business teams to define and execute the technical vision and strategy for the platform.  Your responsibilities include defining and building consensus around evolutionary roadmaps across the platform, strong individual contributions in coordinating and implementing those plans in stages that deliver distinct customer value, and leading improvements to the engineering efficiency and culture of engineering excellence across the team.  Success in the role will require building and maintaining effective partnerships with Product, Marketing, Operations, Business, Legal, and Compliance teams.  You will be a key leader in those partnerships, responsible for driving alignment and delivering technical solutions that provide outstanding value to our members.
 

What You’ll Need

• Bachelor's or Master's degree in Computer Science, or Software Engineering

• 10+ years as a professional, full-time Software Engineer, or similar relevant work experience.

• 7+ years in a technical leadership role.

• Proven track record of defining and leading cross-team initiatives in support of key business and strategic goals.

• Proven track record of leading initiatives to increase engineering productivity and improve engineering excellence.

• Exemplary communication and documentation skills.

• Proficient coding in Java, Kotlin, or other similar object-oriented programming language.

• Experience with public cloud compute, storage, and infrastructure.

• Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.

• Deep understanding of relational and document database fundamentals.

• Deep understanding of microservices design principles and architecture.

• Deep understanding of scaling highly-available, mission-critical systems.

• Expert proficiency working with GIT and related CI/CD systems.

• Experience leading and improving Agile methodologies.

Nice To Have

• Experience with AWS technologies – DynamoDB, RDS, Lambda, Kinesis, SQS, S3, and Athena.

• Full-stack engineering experience, or willingness to expand your influence across our entire platform.

We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.

The Role

Join us in revolutionizing the lending landscape. SoFi is seeking enthusiastic Principal Software Engineers who are ready to lead the technical and strategic evolution of our financial services platform in support of our goals that put our members in control of their financial destiny. Key qualifications of this role include:

• Leading the development and execution of strategic org-wide or company-wide initiatives across multiple product or platform domains.

• Identifying and resolving systemic business, technical, or organizational problems that span multiple organizations across the company.

• Recognition as a subject matter across multiple product or platform domains with the ability to identify and lead the resolution of systemic issues.

• Ability to define the long-term architectural direction across all areas of the platform or across multiple products, aligning stakeholder teams around a shared vision and business goals.

• Ability to drive alignment across divisions to resolve technical and organizational conflicts in order to deliver on SoFi’s business and strategic goals.

• Raises the engineering maturity of the organization by identifying and leading key improvements in the organization's culture and processes that support engineering excellence

• Ability to identify and lead key improvements in systems supporting engineer productivity and velocity.

• Ability to collaborate with partners to create and align technology and company strategy, resulting in plans that address the short and long-term goals of the business.

• Mentors engineers across the organization, is a key contributor in recruiting processes, and helps shape hiring standards.

What You’ll Do

As a widely recognized technical leader across SoFi groups, you will partner across technology and business teams to define and execute the technical vision and strategy for the platform.  Your responsibilities include defining and building consensus around evolutionary roadmaps across the platform, strong individual contributions in coordinating and implementing those plans in stages that deliver distinct customer value, and leading improvements to the engineering efficiency and culture of engineering excellence across the team.  Success in the role will require building and maintaining effective partnerships with Product, Marketing, Operations, Business, Legal, and Compliance teams.  You will be a key leader in those partnerships, responsible for driving alignment and delivering technical solutions that provide outstanding value to our members.

What You’ll Need

• Bachelor's or Master's degree in Computer Science, or Software Engineering

• 10+ years as a professional, full-time Software Engineer, or similar relevant work experience.

• 7+ years in a technical leadership role.

• Proven track record of defining and leading cross-team initiatives in support of key business and strategic goals.

• Proven track record of leading initiatives to increase engineering productivity and improve engineering excellence.

• Exemplary communication and documentation skills.

• Proficient coding in Java, Kotlin, or other similar object-oriented programming language.

• Experience with public cloud compute, storage, and infrastructure.

• Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.

• Deep understanding of relational and document database fundamentals.

• Deep understanding of microservices design principles and architecture.

• Deep understanding of scaling highly-available, mission-critical systems.

• Expert proficiency working with GIT and related CI/CD systems.

• Experience leading and improving Agile methodologies.

Nice To Have

• Experience with AWS technologies – DynamoDB, RDS, Lambda, Kinesis, SQS, S3, and Athena.

• Full-stack engineering experience, or willingness to expand your influence across our entire platform.

We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.

The Role

Join us in revolutionizing the lending landscape. SoFi is seeking enthusiastic Principal Software Engineers who are ready to lead the technical and strategic evolution of our financial services platform in support of our goals that put our members in control of their financial destiny. Key qualifications of this role include:

• Leading the development and execution of strategic org-wide or company-wide initiatives across multiple product or platform domains.

• Identifying and resolving systemic business, technical, or organizational problems that span multiple organizations across the company.

• Recognition as a subject matter across multiple product or platform domains with the ability to identify and lead the resolution of systemic issues.

• Ability to define the long-term architectural direction across all areas of the platform or across multiple products, aligning stakeholder teams around a shared vision and business goals.

• Ability to drive alignment across divisions to resolve technical and organizational conflicts in order to deliver on SoFi’s business and strategic goals.

• Raises the engineering maturity of the organization by identifying and leading key improvements in the organization's culture and processes that support engineering excellence

• Ability to identify and lead key improvements in systems supporting engineer productivity and velocity.

• Ability to collaborate with partners to create and align technology and company strategy, resulting in plans that address the short and long-term goals of the business.

• Mentors engineers across the organization, is a key contributor in recruiting processes, and helps shape hiring standards.

What You’ll Do

As a widely recognized technical leader across SoFi groups, you will partner across technology and business teams to define and execute the technical vision and strategy for the platform.  Your responsibilities include defining and building consensus around evolutionary roadmaps across the platform, strong individual contributions in coordinating and implementing those plans in stages that deliver distinct customer value, and leading improvements to the engineering efficiency and culture of engineering excellence across the team.  Success in the role will require building and maintaining effective partnerships with Product, Marketing, Operations, Business, Legal, and Compliance teams.  You will be a key leader in those partnerships, responsible for driving alignment and delivering technical solutions that provide outstanding value to our members.

What You’ll Need

• Bachelor's or Master's degree in Computer Science, or Software Engineering

• 10+ years as a professional, full-time Software Engineer, or similar relevant work experience.

• 7+ years in a technical leadership role.

• Proven track record of defining and leading cross-team initiatives in support of key business and strategic goals.

• Proven track record of leading initiatives to increase engineering productivity and improve engineering excellence

• Exemplary communication and documentation skills.

• Proficient coding in Java, Kotlin, or other similar object-oriented programming language.

• Experience with public cloud compute, storage, and infrastructure.

• Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.

• Deep understanding of relational and document database fundamentals.

• Deep understanding of microservices design principles and architecture.

• Deep understanding of scaling highly-available, mission-critical systems.

• Expert proficiency working with GIT and related CI/CD systems.

• Experience leading and improving Agile methodologies.

Nice To Have

• Experience with AWS technologies – DynamoDB, RDS, Lambda, Kinesis, SQS, S3, and Athena.

• Full-stack engineering experience, or willingness to expand your influence across our entire platform.

We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

At Rithum the Database Reliability Engineering (DBRE) team is responsible for the availability, reliability, and observability of all database systems. We rely heavily on automation to reduce manual work and are always looking for ways to improve our processes. We currently Manage and optimize a large-scale SQL Server environment spanning hundreds of instances across hybrid infrastructure (onprem VMware and AWS), as well as installations of various relational and NoSQL database platforms including MongoDB, DynamoDB, Elasticsearch, MySQL, Postgres, and Redis. These database systems touch all aspects of the business. On the DBRE team, we have a strong culture of curiosity, honesty, and a love of collaboration and constant learning.  

As a Senior Database Reliability Engineer, you are expected to embody these values and help foster them among your fellow team members. You are responsible for managing a variety of database systems and designing and leading your own projects with a highly technical approach.

Responsibilities

• Ensure maximum availability and reliability of mission-critical database systems across hybrid infrastructure.
• Design, implement, and maintain SQL Server Always-on Availability Groups, clustering, and replication topologies. Constantly improve the observability of all database systems.
• Lead major database upgrade initiatives and modernization efforts. Support other engineers and teams in their use of database systems.
• Continuously enhance observability using telemetry, performance analysis, and proactive monitoring.
• Continuously enhance processes through automation. Automate operational workflows using PowerShell, Python, and CI/CD tooling.
• Ensure all data is protected and secure
• Participate in our on-call rotation
• Troubleshoot and tune high-load production systems, including complex performance and replication issues.
• Lead technical response during high-severity incidents and conduct root cause analysis.
• Ensure database security, backup integrity, and disaster recovery readiness.
• Contribute to the development of best practices for database engineering and reliability.
• Collaborate cross-functionally to design scalable, resilient data architectures.
• Mentor team members and contribute to engineering best practices.

Qualifications 

Minimum Qualifications  

• 3+ years of hands-on experience managing database systems
• Basic understanding of multi-tenant, database-driven applications
• Familiarity with common data storage technologies and use cases
• Proficiency in a common high-level language such as PowerShell or Python
• Design, implement, and support SQL Server Always On Availability Groups, clustering, and transactional replication
• Lead and execute major upgrade initiatives (e.g., SQL Server version upgrades, compatibilitylevel transitions)
• Own disaster recovery validation and failover strategy execution
• Investigate and resolve complex replication and distribution database failures

Preferred Qualifications 

• 5+ years of hands-on experience administering production database systems at scale
• Bachelor’s degree in a related field
• Experience with database high-availability technologies
• Experience with MongoDB (including replica sets and Atlas), DynamoDB, or other distributed NoSQL platforms
• Familiarity with cloud-native database architectures (AWS preferred)
• Exposure to data platform modernization initiatives (e.g., migration to newer engine versions, consolidation, cloud adoption)
• Knowledge of relational database design concepts in an OLTP environment
• Experience managing database systems in a cloud environment
• Strong problem-solving and analytical skills
• Excellent communication and teamwork abilities
• Commitment to continuous learning and professional development

 Travel Required  

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices.

For this position, the expected base pay range is: $90,000-$140,000 per year. 

This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.

For this position, the expected discretionary bonus is 10% of the annual base salary.

 Benefits 

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
• Accident, critical illness, and hospital indemnity insurance
• Pet insurance
• Legal assistance and identity theft insurance plans
• Life insurance 2x salary
• Access to the Calm app and the Employee Assistance Program
• $65/month Remote work stipend for internet
• Culture and team-building activities
• Tuition assistance
• Career development opportunities
• Charitable contribution match up to $250 per year

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Galileo Financial Technologies, LLC seeks Senior Software Engineer in Seattle, WA: 

Job Duties: Lead the development and testing of our systems and services. Participate in shaping the technical architecture of the product. Help translate product requirements into user stories and technical solutions. Deliver highly available and scalable services in a production environment. Mentor other engineers, support the technical culture, and help grow the team. Generate ideas for new initiatives and technologies. Communicate with project leads, product managers and other software developers. Part-time telecommuting is an option. Hybrid work from Galileo offices in WA.

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and three (3) years of experience in the job offered or in any occupation in related field.

Special Skill Requirements: (1) Java; (2) Kotlin; (3) Spring; (4) PostgreSQL; (5) React; (6) Kubernetes; (7) Kafka; (8) Docker; (9) Posix; (10) JavaScript; (11) TypeScript; (12) Temporal; (13) DynamoDB; (14) Redis; (15) Kibana; and (16) AWS S3, AWS Lambda, AWS ECS, AWS EC2 and AWS IAM. Any suitable combination of education, training and/or experience is acceptable. Part-time telecommuting is an option. Hybrid work from Galileo offices in WA.

Salary: $210,000.00 - $231,000.00 per annum & standard company benefits.

Submit resume with references using the apply button on this posting or by email to: Req.# 5.2 at: ATTN: HR, jobadverts@sofi.org.

#LI-DNI

Lead Software Engineer

The Lead Software Engineer designs and evolves core services within the NICE CXone platform, building scalable cloud systems that support enterprise customers worldwide. This role combines strong software engineering fundamentals with modern development practices, including AI-assisted engineering tools and agentic workflows that accelerate delivery and improve code quality.

Engineers in this role collaborate closely with product managers, system analysts, and architects while mentoring other engineers and driving solutions to complex platform challenges.

What You'll Do

• Design, build, and own scalable distributed services that power critical components of the NICE CXone platform.
• Lead the design and evolution of complex systems across multiple services, balancing performance, reliability, and maintainability.
• Write high-quality, maintainable code and provide thoughtful code reviews that help raise the engineering bar across the organization.
• Design and implement automated testing and quality strategies that improve system reliability and engineering velocity.
• Partner with product management, system analysts, architects, and other engineering teams to shape technical solutions and deliver meaningful outcomes for customers.
• Provide technical leadership and mentorship, helping engineers develop strong engineering judgment and ownership.
• Take ownership of production systems, diagnosing issues, resolving defects, and improving platform stability and resilience.
• Promote modern engineering practices including automation, observability, maintainable architecture, and AI-assisted development workflows that accelerate development and system understanding.
  
  

Engineering Culture at NICE

At NICE, we believe great engineers own outcomes. Our teams focus on solving meaningful problems for customers and delivering results rather than simply completing tasks.

Engineers in this role are trusted to think critically, propose solutions, and make technical decisions that move systems forward. There is rarely only one correct path to solving a complex engineering challenge, and we value experimentation, iteration, and continuous improvement.

Our engineering teams are also actively adopting AI-augmented development practices to accelerate software delivery and improve system quality. Engineers regularly use modern AI tools and workflows to assist with development, debugging, testing, and system analysis.

Examples include:

• Using AI tools such as Claude Code, GitHub Copilot, or similar to assist with coding, debugging, and documentation
• Leveraging AI for test generation, refactoring, and system exploration in complex codebases
• Automating engineering workflows such as dependency analysis or large-scale code investigation

We do not expect every candidate to be an expert in these tools today, but we are looking for engineers who are curious about modern development workflows and excited to continuously improve how software is built.

Required Qualifications

• Bachelor’s degree in Computer Science, Business Information Systems, or a related field (or equivalent practical experience).
• 8+ years of professional software development experience designing and building production systems.
• Strong engineering judgment with the ability to evaluate tradeoffs and design practical solutions to complex technical challenges.
• Experience building and operating distributed services using Go, Java, and Spring.
• Experience designing and maintaining AWS-based microservices architectures.
• Deep understanding of object-oriented design, common design patterns, and maintainable software architecture.
• Experience developing automated tests and working within CI/CD development environments.
• Experience working in agile development environments with strong collaboration across engineering, product, and architecture teams.
• Experience leveraging modern developer tooling, including AI-assisted development platforms (such as Claude Code, GitHub Copilot, or similar) to improve engineering productivity.

Preferred Qualifications

• Experience working with large-scale distributed systems or real-time platforms.
• Experience with MongoDB, DynamoDB, or similar distributed database technologies.
• Experience building services using REST APIs, WebSockets, or gRPC.
• Experience working in CI/CD environments and modern automation frameworks.
• Experience serving as a technical lead or mentoring engineers.
• Experience working in telecommunications, telephony systems, or contact center platforms.
• Experience integrating AI/ML capabilities into software platforms or working with AI-assisted development workflows.
• Experience with information security practices.

Why Join NICE Engineering

You’ll work on a large-scale cloud platform supporting enterprise customers worldwide while helping shape the next generation of engineering practices at NICE.

Our teams build highly reliable distributed systems while adopting modern development workflows and AI-assisted engineering practices that accelerate innovation without sacrificing quality.

The role

We are looking for a Staff Backend Software Engineer to join the Protect team who will help build our next generation Insurance platform. You will have the opportunity to set technical direction for a growing and critical business function within SoFi where the overall architecture is still relatively greenfield and the business impact is high. This is a great opportunity to help shape the evolution of the team and the platform capabilities for years to come.

We are looking for a talented and experienced Senior Backend Software Engineer to join our team in building a state-of-the-art insurance platform. The successful candidate will have a strong background in designing, developing, and maintaining robust back-end systems. As a Senior Backend Software Engineer, you will play a crucial role in ensuring the scalability, performance, and security of our platform.

Key responsibilities

• Lead the development and testing of our systems and services
• Participate in shaping the technical architecture of the product
• Help translate product requirements into user stories and technical solutions
• Deliver highly available and scalable services in a production environment
• Mentor other engineers, support the technical culture, and help grow the team
• Generate ideas for new initiatives and technologies
•  Drive operational excellence in our business processes to deliver higher service quality
• Communicate with project leads, product managers and other software developers

Requirements

• Bachelor’s Degree in Computer Science or related field
• 8+ years programming experience, ideally on a modern stack.
• Our core stack is Java/ Kotlin/ Spring / AWS/ PostgreSQL, and we run on Kubernetes in a service oriented architecture.
• 4+ years Java, Kotlin or other OO programming experience 
• A solid understanding of relational databases and ORMs
• Experience working on microservice-based applications.
• Experience working with GIT and CI/CD systems.
• Effective communication skills
• Willingness to roll up your sleeves, collaborate with others and get stuff done
• Solid sense of responsibility; driving a project from inception to completion
• Experience working in a collaborative coding environment, refining designs together, working through code reviews and managing pull requests
• View Unit and Integration test as 1st class citizen in software development
• Desire to grow, learn and collaborate with team of engineers.

Nice To Have

• Experience scaling highly available, mission critical systems
• Full-stack experience, either toward systems (kafka, temporal, docker), databases (DynamoDB), or front-end (javascript/typescript, react)
• Insurance Industry Experience: Familiarity with the insurance industry and its specific regulatory requirements.
• Experience incorporating LLMs into user flows

About the role

We're looking for experienced engineers to build and scale the database infrastructure that powers both Claude's product offerings and Anthropic's research initiatives. As a Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research.

This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.

Responsibilities:

• Drive the technical direction for database solutions used across Product and Research
• Design and implement database solutions that scale to support millions of users across Claude's product ecosystem
• Build and scale database systems through 100x+ growth while maintaining reliability and performance
• Architect data storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments
• Develop database infrastructure that serves both product and research workloads with different performance characteristics
• Partner with product and research teams to understand data requirements and build infrastructure that accelerates innovation
• Optimize database performance, reliability, and cost efficiency at massive scale
• Make critical build vs. buy decisions for database technologies

You might be a good fit if you:

• Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building and scaling database systems
• Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
• Possess deep expertise in distributed database architectures and OLTP systems at scale
• Have successfully scaled databases through massive growth at high-growth companies
• Can balance the speed of a startup environment with the reliability needs of production systems
• Excel at technical leadership and cross-functional collaboration
• Are passionate about building the data layer that enables next-generation AI capabilities

Strong candidates may also have:

• Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems
• Experience with Redis, Temporal, vector databases, or async job processing frameworks
• Experience building multi-cloud or hybrid cloud database solutions
• Knowledge of database orchestration and automation at scale
• Background at companies known for database excellence

Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure/databases expertise from any domain.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X,  and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Team

Twitch is all about community, and our Community Team is a core pillar of what makes Twitch, Twitch. Teams within Community are responsible for a myriad of product areas impacting the creator, viewer, and moderator journeys on our platform. As a member of our team, you'll build solutions that improve g the experience of millions of daily active users on our platform and create tools that keep both streamers and viewers engaged and connected on our platform. 

About the Role

Join Twitch's Commerce Engineering organization, where we're revolutionizing how viewers engage with their favorite creators. We are the teams behind Subscriptions, Gifting, Bits, Hype Train and Turbo products. From experimental features to established systems used by millions, we're constantly pushing the boundaries of what's possible in live streaming.

You can work from Seattle, WA or San Francisco, CA.

You Will:

• Craft immersive, interactive experiences that keep viewers supporting creators while engaging with the Twitch Community
• Architect and build robust, scalable applications that can handle millions of concurrent users
• Collaborate across teams to create cohesive solutions that drive business impact
• Transform customer feedback into innovative features that enhance the Twitch experience

You Have:

• Excellent verbal and written communication skills; Ability to effectively collaborate with teammates is critical to success.
• A track record of building consumer-facing products that users love
• Demonstrable experience  of modern programming languages and frameworks
• Sharp problem-solving skills with a focus on algorithms, data structures, and schema design
• Bachelor's degree in Computer Science or equivalent real-world experience

Bonus Points

• Experience with mobile development, either native or hybrid
• Familiarity with Twitch's tech stack: Golang, Typescript/React
• Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions
• A passion for gaming, streaming, or the Twitch platform

Perks

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Job ID: TW9135

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X,  and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Team

Twitch is all about community, and our Community Team is a core pillar of what makes Twitch, Twitch. Teams within Community are responsible for a myriad of product areas impacting the creator, viewer, and moderator journeys on our platform. As a member of our team, you'll build solutions that improve g the experience of millions of daily active users on our platform and create tools that keep both streamers and viewers engaged and connected on our platform. 

About the Role

Join Twitch's Commerce Engineering organization, where we're revolutionizing how viewers engage with their favorite creators. We are the teams behind Subscriptions, Gifting, Bits, Hype Train and Turbo products. From experimental features to established systems used by millions, we're constantly pushing the boundaries of what's possible in live streaming.

You can work from Seattle, WA or San Francisco, CA.

You Will:

• Craft immersive, interactive experiences that keep viewers supporting creators while engaging with the Twitch Community
• Architect and build robust, scalable applications that can handle millions of concurrent users
• Collaborate across teams to create cohesive solutions that drive business impact
• Transform customer feedback into innovative features that enhance the Twitch experience

You Have:

• Excellent verbal and written communication skills; Ability to effectively collaborate with teammates is critical to success.
• A track record of building consumer-facing products that users love
• Demonstrable experience  of modern programming languages and frameworks
• Sharp problem-solving skills with a focus on algorithms, data structures, and schema design
• Bachelor's degree in Computer Science or equivalent real-world experience

Bonus Points

• Experience with mobile development, either native or hybrid
• Familiarity with Twitch's tech stack: Golang, Typescript/React
• Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions
• A passion for gaming, streaming, or the Twitch platform

Perks

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Job ID: TW9135

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X,  and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Role

Join the Monetization ML team within Twitch's Commerce organization, where we're building the intelligent systems that power personalized experiences for creators and viewers across all monetization products. We are the team behind the ML infrastructure for ads, commerce, and money products – systems that optimize revenue and detect fraud while serving millions of users in real-time.

From production model infrastructure to API integrations across services, we're constantly pushing the boundaries of what's possible in live streaming monetization. 

Our team are based in San Francisco, CA and Seattle, WA

You Will:

• Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitch's ecosystem
• Architect and develop APIs that seamlessly integrate ML models with existing monetization services, enabling real-time and batch predictions at scale
• Collaborate with Applied Scientists to productionize ML models, transforming research into production-ready systems that serve millions of users
• Partner with product engineering teams across monetization to deliver ML-powered features that enhance creator and viewer experiences
• Design and implement comprehensive monitoring and operational excellence systems for ML model performance, ensuring reliability and quality at scale
• Develop data ingestion and processing pipelines that support both real-time inference and batch training workflows
• Explore and build infrastructure for emerging use cases including LLM applications in monetization contexts

You Have:

• 1+ years of professional software development experience with a focus on building scalable systems
• Experience building production ML infrastructure, including model deployment, serving, and monitoring systems
• Proficiency in modern programming languages (Python, Java, Go) and distributed system technologies
• A track record of building APIs and integrating systems that handle high-throughput, low-latency requirements
• Understanding of data processing pipelines and experience with streaming technologies (Flink, Kafka, or similar)
• Sharp problem-solving skills with a focus on algorithms, data structures, and distributed system design
• Bachelor's degree in Computer Science, Engineering, or equivalent real-world experience

Bonus Points

• Familiarity with Twitch's tech stack: Golang, Python, Apache Flink, Cond
• Experience with workflow orchestration tools like Airflow or Conductor for managing ML pipelines
• Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions
• Knowledge of real-time ML serving systems and model deployment at scale
• Experience with fraud detection, recommendation systems, or monetization optimization
• A passion for gaming, streaming, or the Twitch platform

Perks

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Job ID: TW9103

The Role

As a Senior Full Stack Engineer, you will be a key leader across the entire software development lifecycle, from conceptual design to deployment and monitoring. You will be responsible for building robust, scalable backend services using Python and AWS Serverless technologies (Lambda, DynamoDB, SQS, EventBridge), developing event-sourced systems that provide complete state history and auditability.

A critical component of this role is a demonstrated fluency with modern AI/ML development tools (e.g., GitHub Copilot, Claude Code, agentic coding tools, large language models). We are looking for candidates who not only use these tools daily but can articulate a clear, thoughtful perspective on their limitations, security implications, and the strategic opportunities they create for the engineering profession.

Key Responsibilities

• Lead the design and implementation of highly scalable, cost-efficient serverless backend services using Python and AWS (Lambda, API Gateway, DynamoDB, SQS, EventBridge).
• Architect and build event-sourced systems and event-driven pipelines, ensuring reliable message processing, idempotency, and eventual consistency across distributed services.
• Collaborate with product managers and designers to translate requirements into technical designs and shippable code.
• Implement best practices for security, logging, monitoring, and infrastructure-as-code (e.g., Terraform or CloudFormation).
• Perform rigorous code reviews, mentor junior and mid-level engineers, and drive technical excellence across the team.
• Actively research, propose, and integrate new technologies and patterns, with a focus on optimizing development velocity and system performance.
• Clearly articulate a professional point of view on how to effectively, securely, and ethically integrate AI tools into the software development lifecycle.

Qualifications

Required

• 5+ years of professional experience in full-stack software development.
• Expert-level proficiency in Python for backend development.
• Strong working proficiency with Node.js.
• Deep practical experience designing, deploying, and maintaining applications using serverless architectures (preferably AWS Lambda, API Gateway, and managed services).
• Hands-on experience with DynamoDB, including single-table design patterns, GSI/LSI strategies, and performance optimization at scale.
• Solid understanding of event sourcing and event-driven architecture patterns, including experience with message brokers or streaming services (e.g., SQS, SNS, EventBridge, or Kinesis).
• Experience with CI/CD pipelines, automated testing, and Infrastructure-as-Code.
• Demonstrated Fluency in AI-Assisted Development: Candidates must be able to demonstrate practical, hands-on experience using AI-powered coding tools to achieve specific, quantifiable productivity gains, while also clearly understanding and mitigating the associated risks (e.g., code quality, security, IP concerns).

Nice to Have

• Experience with advanced AWS services (e.g., Kinesis, SageMaker, Step Functions).
• Familiarity with TypeScript for robust front-end or Node.js development.
• Proficiency with a modern front-end framework (e.g., React, Vue, or Angular).
• Experience working in a regulated or compliance-focused environment.
• A Bachelor’s or Master’s degree in Computer Science or a related technical field.

AI and the Evolution of Software Engineering & Ops

All candidates must be prepared to discuss and demonstrate the following during the interview process:

• Practical AI Tool Usage: Specific examples of AI tools used in professional or personal projects to enhance productivity, solve complex problems, or accelerate development. If you have a preferred agentic tool setup, please share!
• Understanding of AI Limitations: A clear understanding and articulation of the current technical, ethical, and accuracy limitations of modern AI tools in the engineering context.
• Strategic AI Opportunity: A viewpoint on how AI tools create new opportunities for software engineering, such as shifting focus from boilerplate code to complex problem-solving or architectural design.
• Evolution of the Engineering Role: A well-articulated point of view on how your role has already changed (e.g., new workflows, skills, ways of collaborating) due to the introduction of AI and how you expect the role to evolve in the coming years based on your assessment of coming advancements in AI tools and technologies.

Application Process

To apply, please submit your resume and a cover letter. Your cover letter should be informed by the “AI and Forward-Looking Requirements” section above.

The hiring process includes:

• Initial screening email
• A Technical Assessment Interview
• A Panel Interview

Salary Range $140,000 - $175,000

Who we seek:

We are expanding our Solutions Engineering team. We're always looking for top Engineers to join our winning team. This team works closely with innovative companies interested in leveraging BigID’s platform. You will use your knowledge to influence customer decisions, provide insightful solutions, and drive successful proof-of-value implementations. With your potent technical capabilities, critical and creative thinking, and passion for fast-paced problem-solving, be ready to hit the ground running.

We're seeking someone based in PST.

What you’ll do:

• Work with the Sales team as the technical subject matter expert for BigID’s platform during customer calls and presentations
• Use market and technical knowledge to consult on best practices and offer constructive direction for solution architecture and design
• Stay up-to-date on relevant competitive solutions, products, and services/offerings
• Drive customer success with real-world knowledge and recommendations
• Develop a trusted advisory role with customers, communicating upcoming product changes, enhancements, and serving as an internal voice of the customer
• Work with the post-sales teams to ensure every customer realizes the value of the BigID Platform and continues to contribute to the success of BigID customers

What you’ll bring:

• Interpersonal communication, customer relationship, executive presentation skills
• Excellent organization skills and ability to multitask in a fast-paced startup environment
• Demonstrated ability to address customer needs and provide best practices
• Strong background in Big Data, AI, privacy, data governance, or information security
• Good troubleshooting abilities and a methodical approach
• Ability to describe complex technical concepts to diverse audiences: executives, business stakeholders, and technology practitioners
• Passion for demonstrating solutions and ability to provide technical input during the sales process
• Broad understanding of enterprise data architecture, privacy, and security technologies
• Ability to plan, execute and close out a Proof of Concept with minimal assistance and oversight
• Desire to share knowledge through excellent documentation creation and RFI/RFP responses
• Some prior experience with one or more of the following: RDBMS systems, no-SQL data stores (MongoDB, Cassandra, DynamoDB), Hadoop technologies (such HDFS, Hive, HBase), cloud technologies (AWS EMR, S3, DynamoDB, Redshift, Azure file and blob storage, etc.)
• Prior experience with Identity and Access Management or Data Loss Prevention tools is a plus
• Experience with Linux or container frameworks (such as Docker and Kubernetes) is a strong plus
• Minimum of 3 years in a pre-sales or consulting role within a multinational environment
• Bachelor’s degree in computer science or related discipline (master’s degree a plus)

Our Values:

We look for people who embody our values - Care, Do,Try & Shine.

• Care - We care about our customers and each other
• Do - We do what it takes to make a positive impact
• Try - We try our best and we don’t give up
• Shine - We shine and make it our mission to always stand out

BigBenefits: 

💻 Work from home with a global remote-first community

 Global Culture Corner

 Flexible PTO and Quarterly Volunteer Days

💸 Equity Participation

 100% employer-covered medical, dental, and vision options available to you

🐶 Additional insurance benefits like pet insurance and legal assistance 

📚 Learning & Development Opportunities 

Fidelity Employer Sponsored 401K 

 Paid Parental Leave

The annual base salary range is $135,000 - $150,000. Actual salaries will vary and are based on a candidate’s qualifications, skills, and competencies. Salary is just one component of our Compensation Philosophy. Variable/Bonus Compensation & Equity Incentives align with individual and company performance.

#LI-YD1

#LI-Hybird